Abstract
In this paper producers and distributors in supply chain need to agree on orders quantities and schedules. Instead of classical integrated production-distribution planning model we propose a reformulation in form of centralized auction, oriented on maximization of individual benefits. Production costs and inventory costs are handled as parts of competitive offers/bids. We reformulate the inventory costs, so they can be interpreted as costs of reduction or increase in ordered quantities. Ordered distribution quantities are balanced in each period with offered production. We point to the similarity of the proposed model to the centralized double energy market for demands with shifting capabilities. This allows us to use pricing model based on uplifts minimization, originally developed for pool-based auction. As a result we obtain prices complemented with minimum uplifts that support competitive producers and distributors to follow schedules efficient for entire supply chain. This novel coordination mechanism is formulated as a set of two clearing and pricing mixed integer linear programming problems (MILP). Simple example illustrates the approach.
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Danloup, N., Allaoui, H., Goncalves, G.: Literature review on OR tools and methods for collaboration in supply chain. In: Proceedings of 2013 IEEE International Conference on Industrial Engineering and Systems Management (IESM), pp. 1–7 (2013)
Jung, H., Jeong, B.: Decentralised production-distribution planning system using collaborative agents in supply chain network. Int. J. Adv. Manuf. Technol. 25(1–2), 167–173 (2005). https://doi.org/10.1007/s00170-003-1792-x
Kalagnanam, J., Parkes, D.C.: Auctions, bidding and exchange design. In: Simchi-Levi, D., Wu, S.D., Shen, Z. (eds.), Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era, pp. 143–212. Kluwer, Boston (2004). https://doi.org/10.1007/978-1-4020-7953-5_5
Kaleta, M.: Price of fairness on networked auctions. J. Appl. Math. 2014, 1–7 (2014). https://doi.org/10.1155/2014/860747
Kempf, K.G., Keskinocak, P., Uzsoy, R. (eds.): Planning production and inventories in the extended enterprise: a state of the art handbook, vol. 1. Springer (2011). https://doi.org/10.1007/978-1-4419-6485-4
Madani, M., Van Vyve, M.: Computationally efficient MIP formulation and algorithms for European day-ahead electricity market auctions. Eur. J. Oper. Res. 242(2), 580–593 (2015). https://doi.org/10.1016/j.ejor.2014.09.060
Toczyłowski, E.: Optimization of Market Processes under Constraints. EXIT Publishing Company, Warsaw (2002)
Toczylowski, E., Zoltowska, I.: A new pricing scheme for a multiperiod pool-based electricity auction. Eur. J. Oper. Res. 197(3), 1051–1062 (2009). https://doi.org/10.1016/j.ejor.2007.12.048
Zoltowska, I.: Demand shifting bids in energy auction with non-convexities and transmission constraints. Energy Econ. 53, 17–27 (2016). https://doi.org/10.1016/j.eneco.2015.05.016
Zoltowska, I.: Direct minimum-uplift model for pricing pool-based auction with network constraints. IEEE Trans. Power Syst. 31(4), 2538–2545 (2016). https://doi.org/10.1109/TPWRS.2015.2468083
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Zoltowska, I. (2019). Collaborative Network Planning Using Auction Parallel to Pool-Based Energy Market with Shifting Bids. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_8
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DOI: https://doi.org/10.1007/978-3-319-97490-3_8
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